Characterization of spatial frequency channels underlying disparity sensitivity by factor analysis of population data

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Abstract

It has been suggested that at least two mechanisms mediate disparity processing, one for coarse and one for fine disparities. Here we analyze individual differences in our previously measured normative dataset on the disparity sensitivity as a function of spatial frequency of 61 observers to assess the tuning of the spatial frequency channels underlying disparity sensitivity for oblique corrugations (Reynaud et al., 2015). Inter-correlations and factor analysis of the population data revealed two spatial frequency channels for disparity sensitivity: one tuned to high spatial frequencies and one tuned to low spatial frequencies. Our results confirm that disparity is encoded by spatial frequency channels of different sensitivities tuned to different ranges of corrugation frequencies.

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APA

Reynaud, A., & Hess, R. F. (2017). Characterization of spatial frequency channels underlying disparity sensitivity by factor analysis of population data. Frontiers in Computational Neuroscience, 11. https://doi.org/10.3389/fncom.2017.00063

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